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<caption align="top"> Performance metrics for DistilBert and SVM </caption>
<tr> <th> Classifier </th> <th> Class </th> <th> Balanced Accuracy </th> <th> F1 Score </th> <th> Precision </th> <th> Recall </th> <th> Specificity </th>  </tr>
  <tr> <td> DistilBert </td> <td> Non-Housing </td> <td align="right"> 0.907 </td> <td align="right"> 0.935 </td> <td align="right"> 0.939 </td> <td align="right"> 0.932 </td> <td align="right"> 0.882 </td> </tr>
  <tr> <td> DistilBert </td> <td> Housing </td> <td align="right"> 0.907 </td> <td align="right"> 0.876 </td> <td align="right"> 0.870 </td> <td align="right"> 0.882 </td> <td align="right"> 0.932 </td> </tr>
  <tr> <td> SVM </td> <td> Non-Housing </td> <td align="right"> 0.881 </td> <td align="right"> 0.921 </td> <td align="right"> 0.917 </td> <td align="right"> 0.924 </td> <td align="right"> 0.838 </td> </tr>
  <tr> <td> SVM </td> <td> Housing </td> <td align="right"> 0.881 </td> <td align="right"> 0.844 </td> <td align="right"> 0.851 </td> <td align="right"> 0.838 </td> <td align="right"> 0.924 </td> </tr>
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